Research &Quality Improvement Associate

Research & Quality Improvement Associate

Join to apply for the Research & Quality Improvement Associate role at Pine Street Inn

Schedule: 40 hours, Monday – Friday, 8:30am – 5:00pm

Pays: $63,000 – $73,000 annually (Salary ranges provided are based on relevant experience and skill set)

Location: Hybrid: 3368 Washington St, Jamaica Plain, 2–3 days per week

The Research & Quality Improvement Associate supports the Strategy and Planning Department research, evaluation, and quality improvement agenda. This position contributes to the design and implementation of research and evaluation initiatives (such as surveys, focus groups, and research in partnership with universities), analyzes internal and external data, and helps translate findings into actionable program improvements. The ideal candidate is detail‑oriented, intellectually curious, and passionate about translating insights into action.

As a contributor to the Strategy and Planning Department’s Research and Evaluation Agenda, the Research & Quality Improvement Associate will be responsible for the following areas:

• Update and maintain PSI’s library of external research, translating research into digestible insights to support our work.
• Conduct literature review to identify useful findings to support the design and delivery of our programs.
• Monitor emerging trends and evidence in the field relevant to our work.
• Identify possible research questions from PSI’s Data Think Tank and other key stakeholders, scope out and manage projects that increase our knowledge of how and why our programs are working and how we can enhance them.
• Conduct interviews with local and national peer organizations as needed.
• Assist with analyzing internal performance metrics, identifying trends and gaps.
• Contribute to the development of reports, briefs, and presentations that summarize findings and guide strategic decision‑making.

• Develop quality improvement plans, track progress and report on improvements.
• Design and administer surveys with program participants using a mixture of digital and paper‑based tools.
• Analyze and share results of consumer input and develop recommendations to support consumer satisfaction and outcomes in partnership with program stakeholders.
• Collaborate with PSI’s Consumer Engagement Coordinator to incorporate lived experience into program design and delivery, ensuring planning is supported by best‑practice evidence and participant needs.
• Assist in translating findings into actionable recommendations, providing planning and implementation support to programs on initiatives to improve service delivery and outcomes.

• Have a good understanding of research methods.
• Be a savvy consumer of data.
• Have a clear commitment to the populations we serve.
• Be able to work as part of a team.

• Bachelor’s Degree with two to five years of database applications and administrative experience, preferably in human services.
• Training in basic statistics.
• Proficiency in office software and equipment including Microsoft Office products, internet use, telephone systems, and copy/scanner machines.
• Knowledge of Microsoft Office Suite such as Excel pivot tables and charts.
• Ability to deliver results, work independently, and prioritize tasks with strong attention to detail.

• Master’s Degree with at least three years of database applications and administrative experience, preferably in human services, and training in program evaluation, research methods, or program management, or equivalent professional experience.

• Experience with designing and implementing surveys.
• Experience conducting and writing literature reviews.
• Knowledge of statistical analysis methods.
• Knowledge of qualitative analysis methods.
• Strong verbal and written communication skills.
• Experience with project or workflow management.
• Bilingual/Bicultural (Spanish or Haitian Creole).
• Familiarity with housing and homelessness data sources such as the Annual Homeless Assessment Report (AHAR), the Point in Time count, and the U.S. Census.
• Familiarity with HUD standards for data quality and reporting.